Senior Machine Learning Manager, Monzo
Financial Crime
£130-155k
+ Share options
More information about location
Digital-only bank platform and marketplace
Open for applications
Digital-only bank platform and marketplace
1001+ employees
Open for applications
£130-155k
+ Share options
More information about location
1001+ employees
Company mission
To build a new kind of bank that makes money work for everyone.
Role
Who you are
- You have experience managing teams of 5 or more high-performing Machine Learning professionals and owning Machine Learning systems in production
- You understand how ML systems work, how they should be designed based on the business problem they solve, and can communicate this to technical and non-technical people
- You have experience collaborating with senior business stakeholders and product teams to implement ML systems
- You know what makes a high-performing team and know how to get there. You care deeply about helping others achieve their goals and become the best Machine Learning Scientists they can be
- You have an empathetic leadership style, and you build strong, effective relationships
What the job involves
- Fincrime Machine Learning is the largest ML team within Monzo: our mission is to build financial crime defensive capabilities to keep Monzo and our customers safe
- At Monzo, Machine Learning Scientists have ownership across the entire ML lifecycle, from from formulating ML problems to deploying models and monitoring their impact on key product and business metrics
- Our work in Fincrime has a directly measurable impact on both customers and the company
- We have a duty to keep customers safe and financial crime prevention has a strong impact on the customer experience
- Additionally, preventing financial crime is crucial to Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's Profit and Loss
- Our Machine Learning Scientists collaborate in cross-functional squads across Data, Engineering, Product, and Risk, tackling a broad range of issues including fraud detection and prevention, transaction monitoring for various suspicious activities, customer risk assessment, and operational tooling
- You will head up machine learning for the whole Financial Crime domain at Monzo, helping us to build up the vision, strategy, and team of machine learning experts for this area
- You’ll work across interdisciplinary squads, with Product Managers, Engineers and other Data colleagues (Data Analysts, Data Scientists, Analytics Engineers) to ensure we’re pursuing the most impactful machine learning opportunities, and tackling them with pragmatic, iterative, and high-quality systems
- You will lead the design, build and delivery of machine learning systems, working at the intersection of Data, Product, and Engineering, and ensuring that all systems we build are safe and appropriately validated
- You will support, coach, and develop high performing Machine Learning Scientists through regular 1:1s, continuous feedback and fostering relationships with other leaders at Monzo
- As the manager of the largest ML team in Monzo, you will coordinate with other Machine Learning and Platform teams to ensure Machine Learning at Monzo follows industry best practices and adopts the best tools to achieve good performance and maintain high productivity
- You will contribute to best practices: helping us become an exceptional place to work for ambitious, highly motivated people
- You’ll play a key role in scaling the impact of machine learning across Monzo: empowering Machine Learning Scientists to work across the end-to-end lifecycle of their models, including shipping the models they train into production, and contributing to how we define and build our workflows and tooling as we scale our discipline
Application process
- The application journey has 3 key steps:
- Recruiter Call
- 45 minute call with the hiring manager
- 4 x 1 hour interviews with various team members
- Our average process takes around 2-3 weeks but we will always work around your availability
- You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com
Salary benchmarks
Our take
Monzo is a challenger bank that fully operates online and offers a full range of current, savings, business accounts, and more. The speed of the challenger banks to provide a great experience has been impressive, and the number of competitors appearing has proven the consumer desire for innovation.
Monzo remains one of the popular online banks, with more than 6 million customer active users. The company faces competition as more traditional banks, such as Goldman Sachs and JP Morgan, have launched their own digital banks. However, the new technologies that the company is built on enable it to expand quickly (with fewer issues) than the incumbent players' offerings.
With an increasing amount of people switching banks, the company's ever-expanding suite of banking and financial services (such as its buy-now-pay-later offering) has resulted in Monzo receiving the second-highest net switching gains among digital challenger banks (just behind Starling).
After setting U.S. expansion plans aside in 2020, the company launched in the U.S. market in early 2022, partnering with Sutton Bank to provide its U.S. accounts. After several years focused on narrowing its losses, Monzo hit profitability in the first two months of 2023. In the same year, 2 million new customers joined, tallying its customer base at 9 million in 2024.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Many candidates hear
back within 2 weeks
42% female employees
19% employee growth in 12 months
Company
Funding (last 2 of 18 rounds)
May 2024
$190m
LATE VC
Mar 2024
$429.6m
LATE VC
Total funding: $1.9bn
Company benefits
- Yearly Salary Review + Proactive pay increases to reflect growing responsibilities + Share options
- Flexible working hours
- Work From Home Opportunities + we'll pay for any equipment you need to do your job
- 24 days holiday a year, plus bank holidays
- Paid sick leave for both physical & mental health + Health insurance via AXA or Vitality + Additional health insurance through Medicash
- Employee Assistance Programme
- Learning budget of £1,000 a year
- Aviva Pension Scheme + 4% Employer Contribution
- Paid maternity, paternity, adoption or shared parental leave (after 13 weeks of employment)
- 52 weeks of primary caregiver leave (6 months at 100% pay, 13 weeks at Statutory Maternity Pay, 13 weeks unpaid)
- 3 months of secondary caregiver leave at 100% pay
- Unum Life Insurance
- Access to fertility and family-forming health benefits via Fertifa
- Abellio Season Travel Tickets + Cycle-to-Work Scheme
Company values
- Be hard on problems, not people 🙌 We create supportive communities to help people thrive.
- Make a difference 🚀 We solve real problems, working on things that have the biggest impact for our customers and each other.
- Help everyone belong 🤗 We’re building a bank for everyone. We embrace differences and make sure everyone feels welcome.
- Think customer first; grow Monzo safely 🥕 We always do what's best for customers. It's the right thing to do and the safest way to grow.
- Default to transparency 🎤 We’re open with each other and customers unless we have good reason not to be.
- Think big, start small, own it 🌲 We’re ambitious and shoot for the moon, working iteratively to get the best results.
Company HQ
City of London, London, UK
Articles
Leadership
Jonas Templestein
(CTO)Founder of HipDial. Former Software Engineer at Starling Bank.
People progressing
Joined in the Customer Operations team. Moved to be a Financial Crime Analyst after 5 months. Then moved again to be a Business Analyst after 2.5 years. Currently working as a Senior Product Manager.
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